In this discussion, Stephanie McReynolds, Vice President of Product and Portfolio Marketing at OneTrust, shares her expertise on navigating the complex landscape of AI regulations. She highlights barriers to AI adoption and the vital role of data governance. Stephanie delves into the EU AI Act, outlining its implications for global compliance standards. She also emphasizes responsible AI use and the necessity for organizations to align their policies with practices, mitigating risks while embracing innovation in the realm of data privacy.
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Quick takeaways
Privacy concerns, especially related to generative AI retaining data, significantly hinder organizational AI adoption and compliance efforts.
The EU AI Act necessitates businesses to evaluate their AI systems for compliance and reassess risk management strategies effectively.
Deep dives
Barriers to AI Adoption
Organizations face several barriers to AI adoption, particularly in the context of generative AI. A significant concern among senior leaders is privacy, with 54% identifying it as the top obstacle according to a recent Gartner study. This stems from the way generative AI models operate, where they retain all data without the ability to forget, making it crucial for businesses to be cautious about the sensitive information they input into these systems. Without proper governance and protocols around data management, companies risk mishandling personal information, leading to serious compliance issues.
Three Privacy Pitfalls
Organizations must navigate three key privacy pitfalls to ensure responsible AI adoption: purpose, proportionality, and continuity. Purpose limitation involves using data solely for the reasons it was originally collected, which can become complicated when AI introduces secondary data uses. Proportionality deals with the challenge of needing extensive data to ensure the accuracy of AI models, conflicting with data minimization practices that dictate deleting unnecessary data to protect privacy. Lastly, continuity emphasizes that algorithms don’t forget data, and if sensitive information is used incorrectly, organizations may struggle with compliance or face regulatory penalties.
Compliance with the EU AI Act
The EU AI Act, which took effect on August 1, 2024, marks a significant shift in AI legislation, compelling companies to reassess their AI systems for compliance. Organizations must inventory all AI applications to ensure they are not unknowingly utilizing systems classified as having unacceptable risks. This act encourages companies to proactively determine the risks associated with their AI applications, prompting them to engage in thorough assessments. As adherence to this regulation becomes critical, it is essential for businesses to prioritize transforming their AI governance frameworks to align with emerging legal standards.
Today’s guest is Stephanie McReynolds, Vice President of Product and Portfolio Marketing at OneTrust. OneTrust is a security and privacy platform provider with over 12,000 employees and a $5 billion valuation established to address the growing need for compliance with emerging internet privacy regulations and laws. Stephanie joins us on the program today to delve into the barriers businesses face in AI adoption and the critical data challenges that need to be addressed to successfully implement AI systems. She shares insights on the recent EU AI Act that came into effect on August 2, 2024, and what businesses must consider to comply with these new regulations. This episode is sponsored by OneTrust. To learn more about Emerj Media and how to reach the Emerj audience, visit emerj.com/ad1.
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